The role of eliminated related party sales on earnings information quality – the moderating effect of insider share pledging

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Authors: Ching‐Lung Chen, Pei-Yu Weng, Badingatus Solikhah, Pei-Yun Shiu
Cited by: 0
References: 82

Abstract

Purpose This study aims to examine the relationship between related party sales (RPT) and earnings information quality (IFQ), with particular reference to the possible efficient contracting of the eliminated RPT (ERPT) in preparing consolidated financial statements. The authors also examine the role of insider share pledging in influencing this relationship. Design/methodology/approach Using a sample of 21,778 firm-year observations of Taiwanese listed firms from 2005 to 2021, this study hypothesizes that ERPT are positively associated with IFQ and insider share pledging will weaken this relationship. ERPT are measured as the difference between RPT reported in the parent company–only and consolidated financial statements. IFQ is proxied by earnings precision and accruals quality, and the effect of insider share pledging is tested through the interactive variable. Findings Empirical results indicate that ERPT has a significant positive influence on IFQ, suggesting the importance of ERPT as a determinant of earnings information quality. Further evidence demonstrates that insider share pledging weakens the link between ERPT and IFQ, underscoring potential conflicts of interest and agency problems associated with this pledging behavior. Originality/value Based on Taiwan’s dual-reporting system, this study can use ERPT as a measure to proxy the efficient contracting of RPT, which in turn, examines the engagement of ERPT activities on IFQ. This provides new insights into how contracting RPT reduces information asymmetry and enhances the precision of earnings signals. The findings enrich the understanding of how RPT and disclosure regulations affect the quality of earnings information, while also providing valuable policy implications for regulators.

Fields of Study & Subjects

Auditing Earnings Management Governance Impact of AI and Big Data on Business and Society Financial Reporting and XBRL

Publication details

Journal / source
Pacific Accounting Review
Publisher
Emerald
Pages
1–28
Publication date
15 April 2026
Language
EN